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Quantum Algorithms
Parameterized Multi-observable Sum Uncertainty Relations
arXiv
Authors: Jing-Feng Wu, Qing-Hua Zhang, Shao-Ming Fei
Year
2022
Paper ID
57623
Status
Preprint
Abstract Read
~2 min
Abstract Words
89
Citations
N/A
Abstract
The uncertainty principle is one of the fundamental features of quantum mechanics and plays an essential role in quantum information theory. We study uncertainty relations based on variance for arbitrary finite N quantum observables. We establish a series of parameterized uncertainty relations in terms of the parameterized norm inequalities, which improve the exiting variance-based uncertainty relations. The lower bounds of our uncertainty inequalities are non-zero unless the measured state is a common eigenvector of all the observables. Detailed examples are provided to illustrate the tightness of our uncertainty relations.
Why This Paper Matters
- It adds a 2022 reference point for readers tracking recent quantum research.
- The uncertainty principle is one of the fundamental features of quantum mechanics and plays an essential role in quantum information theory.
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